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Predictive accuracy of a hierarchical logistic model of cumulative SARS-CoV-2 case growth until May 2020

BACKGROUND: Infectious disease predictions models, including virtually all epidemiological models describing the spread of the SARS-CoV-2 pandemic, are rarely evaluated empirically. The aim of the present study was to investigate the predictive accuracy of a prognostic model for forecasting the deve...

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Detalles Bibliográficos
Autor principal:	Kriston, Levente
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668026/ https://www.ncbi.nlm.nih.gov/pubmed/33198633 http://dx.doi.org/10.1186/s12874-020-01160-2

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